Raw LLM — Corpus Dashboard

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G Except if you actually looked at this studies, you'll see the AI models were pur… ytc_UgyOOYnhU… G I think he’s right that “the world is stranger than we expect” *would indeed* be… ytr_Ugyz6Ms8O… G Really concerned when AI turns these “dream girls” into a full blown HER situati… rdc_ks7t1li G my idea is AI is killing up coming kids creativity so Ai art should be stop by a… ytc_Ugwul5amF… G As your summation of how ChatGPT works is ridiculously incorrect, I can only ass… rdc_mzysgni G Specifically for the policing algorithm the “racism” came from statistics it fla… ytc_UgxaCFC7g… G 3:10 which ai source did you use and how did you jailbreak I would love a video … ytc_UgzG32cnQ… G It's the same thing if a group of people had asked the Manhattam project to stop… ytc_UgyAD1ezI…

Comment

The description of LLMs is deficient. During training, Transformer technology adds context around the "next word" word by considering the surrounding words too. And that's critically important because now words have statistical probability on account of the idea behind why the word was used in the text and not just the fact it was present in the text. It gives the LLM a sense of "why" a word should appear as the next word. He also never describes reasoning models although uses examples of them. I think to understand LLMs in terms of alignment, its crucial to understand their training and structure and how that's evolved over time and how its likely to further evolve. Alex nailed it when he asked about their ability to alter their alignment or whether it was perpetually "built in" and it was never really discussed in any useful way. My 2c

youtube AI Governance 2025-11-27T07:3… ♥ 21

Coding Result

Dimension	Value
Responsibility	unclear
Reasoning	unclear
Policy	unclear
Emotion	indifference
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgwB4HphivkiO5zOKrp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy8hylunaTYKqWFvDN4AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugwdy-N1tOFiQXpFDnN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwP7IDyX-8CwdCl8oh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugyyk1aP0fM8N39Npb94AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugz8jWaaRMQ2k27LfUt4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugwqx-TXWkYif1N5MnB4AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwX4vMgJrPCtsJ4yiF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugylk8oftbe_sMUmdFJ4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzGF9I54V-YRIP17AZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}
]

Raw LLM Responses